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sentiment analysis

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Published By: IBM APAC     Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
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industry, advantage, linguistic, grammatical, statistical analysis, content
    
IBM APAC
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
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collaborative consulting, big data, social media, customer sentiment, influence sentiment, govern sentiment, maturity model, generate revenue, media promotions, measurable influence, maturity level, data center design and management, data center
    
Collaborative Consulting
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
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Reputation.com
Published By: IBM     Published Date: Jul 09, 2015
This webinar talks about actionable insights through sentiment analysis of app ratings and reviews, as well as continuous and frictionless quality feedback loop from testers, beta users to end users in both pre-production and production.
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application control, application management, quality feedback, sentiment analysis, user experience, mobility, mobile, content management
    
IBM
Published By: Brandwatch     Published Date: Jun 17, 2013
To demonstrate its prowess as an insight-driven agency, Waggener Edstrom used Brandwatch to monitor and analyze the social “buzz” around the 2012 London Olympic Games—and turned social conversations into meaningful insights for its client brands.
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social media monitoring, social media analytics, social media intelligence, social listening, social media strategy, social media insights, brand monitoring, twitter tracking, facebook tracking, twitter analysis, media reputatino monitoring, sentiment analysis, market research, social media tracking, social business intelligence, reputation measurement, social reporting, brand measurement, social brands, social analytics
    
Brandwatch
Published By: Brandwatch     Published Date: Jun 17, 2013
An introduction to using social media in business, this eBook discusses the importance of setting social media goals and how to foster a positive brand experience, along with tips to become a thriving social enterprise.
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social media monitoring, social media analytics, social media intelligence, social listening, social media strategy, social media insights, brand monitoring, twitter tracking, facebook tracking, twitter analysis, media reputatino monitoring, sentiment analysis, market research, social media tracking, social business intelligence, reputation measurement, social reporting, brand measurement, social brands, social analytics
    
Brandwatch
Published By: Brandwatch     Published Date: Jun 20, 2013
For Sky News Arabia, using social media monitoring & analytics to “sense-and-respond” to viewers is a critical component to increasing viewer-to-viewer engagement and gaining extended market reach in an established market.
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social media monitoring, social media analytics, social media intelligence, social listening, social media strategy, social media insights, brand monitoring, twitter tracking, facebook tracking, twitter analysis, media reputation monitoring, sentiment analysis, market research, social media tracking, social business intelligence, reputation measurement, social reporting, brand measurement, social brands, social analytics
    
Brandwatch
Published By: Brandwatch     Published Date: Jun 20, 2013
In this report, we examined the online conversations around Fashion Week in New York, London, Paris and Milan to find out exactly what makes fashion enthusiasts and buyers tick—and reveal trends and insights to help make fashion brands smarter.
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social media monitoring, social media analytics, social media intelligence, social listening, social media strategy, social media insights, brand monitoring, twitter tracking, facebook tracking, twitter analysis, media reputation monitoring, sentiment analysis, market research, social media tracking, social business intelligence, reputation measurement, social reporting, brand measurement, social brands, social analytics
    
Brandwatch
Published By: Microsoft     Published Date: Jul 20, 2018
Although AI research has been ongoing for decades, the past few years have seen a leap in practical innovations, catalyzed by vast amounts of digital data, online services, and enormous computing power. As a result, technologies such as natural-language understanding, sentiment analysis, speech recognition, image understanding, and machine learning have become accurate enough to power applications across a broad range of industries.
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Microsoft
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis
    
Amazon
Published By: HP Enterprise System     Published Date: Apr 03, 2014
SAP HANA is a powerful, in-memory computing platform that streamlines business suite applications, analytics, planning, predictive analysis, and sentiment analysis on a single platform, so businesses can operate in real time. The design approach for enterprise-level solutions involving SAP HANA, and the best practices surrounding them, isn’t intrinsically different from the approach to any other enterprise-level solution for technology implementations. This paper is written to address those elements of good solution design and apply them to the SAP landscape, with particular focus on the SAP HANA element.
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sap hana, as a service solution, solutions, cost effective, operational management, accelerate value
    
HP Enterprise System
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